The stereo matching network we used in this paper follows a similar pipeline as PSMNet [1]}, with several key modifications.
The network consists of five main modules:
feature extraction, spherical warping layer, cost volume construction, cost aggregation, and depth prediction. Comparing with the original PSMNet [1]}, our unique contribution is the Spherical Warping Layer (SWL) which is specifically designed for the 360 stereo geometry.
